Deepo vs Gluon: What are the differences?

Developers describe Deepo as "A Docker image containing almost all popular deep learning frameworks". Deepo is a Docker image with a full reproducible deep learning research environment. It contains most popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch. On the other hand, Gluon is detailed as "Deep Learning API from AWS and Microsoft". A new open source deep learning interface which allows developers to more easily and quickly build machine learning models, without compromising performance. Gluon provides a clear, concise API for defining machine learning models using a collection of pre-built, optimized neural network components.

Deepo and Gluon can be categorized as "Machine Learning" tools.

Deepo is an open source tool with 4.92K GitHub stars and 578 GitHub forks. Here's a link to Deepo's open source repository on GitHub.